{"id":"W2490545168","doi":"10.1017/s0269888916000114","title":"HuroCup: competition for multi-event humanoid robot athletes","year":2016,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Humanoid robot; Competition (biology); Athletes; Event (particle physics); Robot; Focus (optics); Computer science; Simulation; Psychology; Artificial intelligence; Physical therapy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000317979,0.0002108958,0.0003063453,0.00004043633,0.0000595633,0.00001591969,0.0002445462,0.00004183836,0.00009638791],"category_scores_gemma":[0.0001057848,0.0001228515,0.0001805648,0.0001098996,0.00001788922,0.00006909878,0.0000256174,0.00008526612,0.0003795201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008115347,"about_ca_system_score_gemma":0.00001048647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.670403e-7,"about_ca_topic_score_gemma":0.000001589947,"domain_scores_codex":[0.9991757,0.00002493708,0.0003073637,0.0001455489,0.00007258454,0.0002739027],"domain_scores_gemma":[0.9993631,0.0001594242,0.00003015381,0.0003189505,0.00005933123,0.00006902538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009216129,0.0002359705,0.00001673623,0.01868636,0.0004570709,0.000003678316,0.0003514363,0.04284134,0.066687,0.05907897,0.01247393,0.7991583],"study_design_scores_gemma":[0.002138019,0.00008903664,0.0004845487,0.01527508,0.0002568579,0.00002114172,0.000006111499,0.2745846,0.003061197,0.0001527574,0.7030811,0.0008495174],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001220326,0.1360584,0.8606191,0.0005412744,0.0007225812,0.0009126796,0.000008767283,0.0005631925,0.0004519934],"genre_scores_gemma":[0.8679131,0.1059064,0.01311436,0.0004841817,0.001578958,0.00245652,0.0000324616,0.0003741678,0.008139855],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8677911,"threshold_uncertainty_score":0.5009739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02651717260335016,"score_gpt":0.2641758258544626,"score_spread":0.2376586532511124,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}